The Demand Distribution curve illustrates how a TV show’s popularity compares to the demand benchmark, which is a measure of the average demand across all titles. The curve is divided into performance buckets, ranging from “Below Average” to “Exceptional”. A show falls into one of these performance buckets depending on how many times more or less demand it has compared to the demand benchmark.
The show’s performance is market-specific, e.g. the same show can be in the “Average” range in the United States and in the “Good” range in France.
As an example, if a show has 9 times more demand than the demand benchmark, it falls in the “Outstanding” performance range; only 2.7% of all shows in the market reach this high level of demand.
As a TV executive, there are many questions that need to be answered when making content decisions. In particular, you may wonder how much a series is worth, how to optimize its performance, or what types of content exhibit opportunities for acquisition or production. Fortunately, demand data can help to answer many of these questions, as we can see from analyzing "48 Hours" during March 2024 in Mexico.
One useful aspect of demand data is that it can be used to evaluate content valuation. By analyzing audience demand over time for a particular show, we can determine how much it is worth. In the case of "48 Hours", it has 2.6 times the audience demand of the average show in Mexico over the last 30 days, which is good. Moreover, demand for this show has been increasing recently, signaling its growing popularity. These statistics can be useful for content valuation, helping you understand the dollar value contribution of a title to any platform in any region.
Another way in which demand data can be useful is by enabling scalable concept testing. By examining the elements of existing content that fans like the most, and optimizing upcoming production accordingly, you can improve your chances of success. For example, we found that other shows that fans of "48 Hours" also like include "Customer Wars", "Snapped", and "Bering Sea Gold". Examining these types of shows can help you understand which genres or themes are most appealing to your target audience, and guide your content development accordingly.
Demand data can also be helpful in making acquisition or distribution decisions. For example, by examining the top 10 global markets where "48 Hours" is most in-demand over the last 30 days, we can see that it outperforms the demand of the average TV show (1x) in each of these markets. Moreover, it has a particularly outstanding audience demand in the United States, ranking second in the United Kingdom, and having good demand in countries such as Australia, Canada, Germany, Iceland, New Zealand, South Africa, and Kenya. Understanding how a title's demand varies across different regions can help you make informed distribution decisions, allowing you to tailor your distribution strategy accordingly.
One other critical benefit of demand data is that it can inform a TV executive's programming decisions. By analyzing what's working for a show and what's not, executives can determine how to optimize its performance. For "48 Hours", we found that its demand decreased by 13.5% in Mexico during March 2024, indicating a potential issue that needs to be addressed. However, demand for the show spiked in mid-March, potentially indicating a strategy that worked well and could be repeated. Moreover, examining demand data can help inform decisions about release strategies, pricing, and pre-release marketing campaigns, helping executives make informed decisions that can increase a show's momentum.
In conclusion, demand data is a powerful tool that can help TV executives make more informed content decisions. By analyzing audience demand over time, it is possible to understand a show's value, improve its performance, make acquisition and distribution decisions, and more. In the case of "48 Hours", examining the demand data helps to provide valuable insights that can inform optimization efforts and maximize the show's potential.
48 Hours's travelability to Mexico in the last 30 days is 10%, which means that the audience demand for 48 Hours is 10% of the demand in its country of origin, United States. Click through to another market to discover how well 48 Hours travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular CBS‘s 48 Hours is in any of the following selected markets. Need data for other markets? Find out more about DEMAND360LITE.
Parrot Analytics is the leading global content demand analytics company for the multi-platform business of television. With the world’s largest TV audience demand dataset, the company currently tracks more than 1.5B daily expressions of demand in 100 languages, not only in Mexico, but also in 100+ other markets around the world to reveal the television content that consumers watch (viewership) and give their attention to the most.
Parrot Analytics' television demand data highlights the global TV content monetization opportunities for CBS and thousands of TV studios, linear networks, broadcasters, pay TV providers and OTT / SVOD platforms.
Unlike TV ratings, our DemandRank TV rating system ensures that important demand signals are weighted more heavily than others: The more consumer effort required; the more importance is attached to each signal. Once all the signals are weighted and combined, the audience demand for 48 Hours, for example, can be assessed for a market e.g. Mexico, which can then be benchmarked against genre averages (e.g. News Factual), using our globally standardized Demand Expressions® metric.
This page has been adjusted on April 22, 2024, 2:01 p.m. PST using global television demand data from Parrot Analytics for 48 Hours in Mexico. We provide our partners with comprehensive subscription-video-on-demand expertise to help them drive better and more informed content licensing strategies. Contact us today to find out more.